---
title: "Crosstalk 5"
author: "NICAR 2020"
date: "3/5/2020"
output:
  flexdashboard::flex_dashboard:
    theme: paper
    source_code: embed
---

```{r setup, include=FALSE}
# setting up R Markdown options

# We want to hide the code and only see the results
knitr::opts_chunk$set(echo = F)

# We don't want to see any warnings from our code
knitr::opts_chunk$set(warning = F)

# We don't want to see any messages
knitr::opts_chunk$set(message = F)
```

```{r install_packages}
# You must have the flexdashboard package installed
# Before knitting this R Markdown file
# install.packages("flexdashboard")

# This function checks if you don't have the correct packages installed yet
# If not, it will install it for you
packages <- c("tidyverse", "flexdashboard",
              "crosstalk", "leaflet", "DT")

if (length(setdiff(packages, rownames(installed.packages()))) > 0) {
  install.packages(setdiff(packages, rownames(installed.packages())), repos = "http://cran.us.r-project.org")  
}
library(tidyverse)
library(flexdashboard)
library(crosstalk)  
library(leaflet)   
library(DT)   
```

```{r load_and_clean_data}
# This example focuses on Louisiana
# Come back to this later if you want 
# to change the state we're visualizing
# NOTE: You'll need to change the starting
# latitude and longitude of the map code below

state <- read_csv("data/all_pharmacies_summarized.csv") %>% 
  filter(BUYER_STATE=="LA") %>% 
  select(-BUYER_ADDL_CO_INFO, -BUYER_ADDRESS2) %>% 
  arrange(desc(per_person))

st <- SharedData$new(state)
```

Opioids in State {data-icon="ion-stats-bars"}
=====================================  

Column {data-width=200}
-------------------------------------

### Filters

```{r filter_section}
filter_select(
  id = "BUYER_COUNTY",
  label = "County",
  sharedData = st,
  group = ~BUYER_COUNTY
)
bscols(
  filter_checkbox(
    id = "BUYER_BUS_ACT",
    label = "Pharmacy type",
    sharedData = st,
    group = ~BUYER_BUS_ACT
  )
)
bscols(
  filter_slider(
    id = "per_person",
    label = "Pills per resident",
    sharedData = st,
    column = ~per_person,
    step = 10,
    round = TRUE,
    sep = "",
    ticks = FALSE
  )
)

```


Column {data-width=800}
-------------------------------------

### Datatable

```{r filterable_table}
st %>% 
  DT::datatable(
    filter = "top",  # allows filtering on each column
    extensions = c(
      "Buttons",  # add download buttons, etc
      "Scroller"  # for scrolling down the rows rather than pagination
    ),
    rownames = FALSE,  # remove rownames
    style = "bootstrap",
    class = "compact",
    width = "100%",
    options = list(
      dom = "Blrtip",  # specify content (search box, etc)
      deferRender = TRUE,
      scrollY = 300,
      scroller = TRUE,
      columnDefs = list(
        list(
          visible = FALSE,
          targets = c(1,3,4, 7, 10)
        )
      ), 
      buttons = list(
        I("colvis"),  # turn columns on and off
        "csv",  # download as .csv
        "excel"  # download as .xlsx
      )
    ),
    colnames = c(
      "County" = "BUYER_COUNTY",
      "City" = "BUYER_CITY",
      "DEA number" = "BUYER_DEA_NO",
      "Type" = "BUYER_BUS_ACT",
      "Buyer name" = "BUYER_NAME",
      "Address" = "BUYER_ADDRESS1",
      "Per person" = "per_person",
      "Total dosages" = "total_dosage_unit",
      "Total orders" = "total_records",
      "Average population" = "average_population",
      "Zip code" = "BUYER_ZIP"
    )
  )
```


### Interactive map

```{r interactive_map}
st %>% 
  leaflet() %>%
  addProviderTiles("CartoDB.Positron") %>% 
  setView(-92.469698, 31.012156, zoom = 7) %>% 
  addCircles(
    popup = ~paste0("", state$BUYER_NAME ,"
",
                    state$BUYER_CITY, "
",
                    state$per_person, " average pills per person

                    "),
    radius=sqrt(state$per_person)*1000,
    stroke=FALSE,
    opacity=.5
    )
```